Staff Backline Engineer - Platform

Application Debugging

: Deep expertise in troubleshooting, supporting, and maintaining complex Java, Scala, or Python-based applications

Big Data Ecosystems:

Advanced proficiency in managing, tuning, and resolving issues within distributed computing environments, with a strong emphasis on Apache Spark™ , Hadoop or other Distributed Systems

Database Management:

Proficient at debugging, tuning, and resolving issues in SQL-based relational databases, preferably Postgres

Act as the ultimate technical escalation point,

driving the resolution of the most complex, high-stakes customer issues on the Databricks Platform through deep analysis of core components, metrics, and logs.

by architecting standardized troubleshooting methodologies, comprehensive runbooks, and leading deep-dive technical enablement sessions.

Champion product supportability and observability,

by actively partnering with Engineering and Product teams to influence the roadmap and integrate critical feedback.

Spearhead strategic automation and tooling initiatives,

The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasize automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.